Famille transnationale, coprésence virtuelle et re-construction du sentiment familial
Bibliographic record
Abstract
Research Framework: Many argue that the development of new information and communication technologies (ICT) would have given rise to a new way of retaining the emotional bond among transnational families. It would thus abolish the distance by establishing a virtual co-presence.Objectives: The objective is to understand, through the study of the use of ICT, how transnational families manage to keep strong their familyhood. It also intends to discuss the limits of these practices on their ability to continue to "make family transnationally."Methodology: The analysis is based on data collected through in-depth interviews with Montreal-based migrants and their family members in Brazil.Results: ICT has become a familiar tool in transnational family exchanges. They provide access both to ordinary and to special moments of family life. They give rise to new practices of family interactions. Nevertheless, they also imply constraints in the exchanges, as they appear to be an unsatisfactory solution to solve the problem of physical distance and separation.Conclusions: The use of ICT has become an incorporated habit in transnational family life, for its informative power on the daily life of members of the transnational family. Virtual co-presence, however, is limited as far as the expression of emotions and family solidarity are concerned. Contribution: The results presented allowed to identify the contributions, the ambivalences and the limits of the use of ICT to make family transnationally. They also revealed the formation of family micro-rituals, which act as mechanisms of regulation and expression of familyhood.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".